01
AI Systems
Software that reasons, reads and responds.
- AI agents
- Generative AI systems
- Voice AI
- Document AI
- Intelligent assistants
- Private AI systems
AI-First Company
A real prototypein 100 minutes.
From business problems to production-ready AI solutions—built fast, securely, and to scale.
AI-first product engineeringAI agentsAutomationScalable software
Get in Touch
01The Problem
Build Faster. Start Sooner.
Most projects spend months planning before they build. We reverse the order—building early, testing assumptions, and validating fast.
The old way
Documentation first.
- Endless requirement meetings
- Documentation before validation
- Slow handoffs between teams
- Expensive revisions late in the build
- Fragmented, siloed delivery
- Development before learning
- AI bolted on after the fact
The WizeBix way
Working software first.
- Conversation-first intake
- AI-assisted scope and blueprint
- Rapid working prototype
- Continuous validation
- AI-assisted engineering
- Human quality control
- Production-first architecture
02The 100-Minute Proposition
100Minutes
Your First Working Product Starts With a Conversation.
We don't ask you to spend weeks writing the perfect specification. Tell us the problem, explain the workflow, show us the process or send us the idea. Our AI-first workflow turns that input into a working product direction — fast.
- 00:00 min
Conversation
A call, a message, a workflow recording, a rough idea.
- 20:00 min
Requirements
AI structures the conversation into scope, users and constraints.
- 40:00 min
Product structure
Entities, flows, permissions and integration points take shape.
- 60:00 min
Interface
Real screens, real navigation, real states — not slideware.
- 80:00 min
Core workflow
The one path that proves the product is worth building.
- 100:00 min
Working prototype
Something you can click, react to and challenge.
03The Operating Model
This Is Not SDLC.
This Is ADLC.
AI-Driven Development Lifecycle. Seven stages that feed back into each other, so launch is a checkpoint rather than an ending.
AI is not a feature added at the end of development. AI is embedded throughout the development lifecycle.
Stage 01
Understand
Capture the requirement where it actually lives.
Learn feeds back into Understand
04AI-First Delivery
AI Accelerates.
Engineers Lead.
Two layers, one accountable team. Speed comes from the first. Trust comes from the second.
Layer 01 · Machine
AI agents assist with the volume.
Everything that is repeatable, mechanical or faster to generate than to write by hand.
- Requirement analysis
- Code generation
- UI generation
- Testing
- Documentation
- Data processing
- Automation
- Research
- Repetitive engineering tasks
Layer 02 · Human
Engineers own the judgement.
Everything where being wrong is expensive, and where responsibility has to sit with a person.
- Architecture
- Security
- System design
- Technical trade-offs
- Quality
- Production releases
- Business-critical decisions
There is no autonomous pipeline pushing code to production. Every AI-generated contribution passes through engineering review before it ships.
05What WizeBix Builds
Four Pillars. One Delivery Model.
Whether the output is an agent, a platform or a pipeline, it goes through the same ADLC loop and the same engineering ownership.
02
Product Engineering
The platforms your business actually runs on.
- Web applications
- Mobile applications
- SaaS products
- Portals
- Dashboards
- Internal platforms
- Customer platforms
03
Business Automation
Remove the manual work between systems.
- Workflow automation
- Data pipelines
- Document processing
- Communication automation
- CRM automation
- Reporting systems
- Database reactivation
04
AI Optimization
Make AI cheaper, faster and predictable.
- AI infrastructure
- Model routing
- Prompt optimization
- Token optimization
- AI cost reduction
- Scalable architecture
06Problem → System
Tell Us What Is Broken.
You describe the bottleneck in your own words. We name the system that removes it. Pick the one that sounds like your week.
WizeBix builds
AI Lead Qualification Agent
Inbound enquiries are scored, enriched and routed in seconds. Your team opens the day with a ranked list instead of an inbox.
- Agent
- CRM
- Routing
07Security & Scalability
Fast Doesn't Mean Fragile.
Every system is designed with production requirements in mind — security, maintainability, observability, scalability and controlled deployment.
01
Secure by Design
Authentication, authorization, secrets management and secure APIs planned at architecture time.
02
Scalable Architecture
Designed for growth in users, data and traffic — not rewritten once the growth arrives.
03
Human-in-the-Loop
Critical AI decisions stay reviewable, explainable and controllable by a person.
04
Observable
Logging, monitoring, tracing and honest failure visibility from day one.
05
Maintainable
Readable code, documentation, testing and a structure the next engineer can work in.
08Why WizeBix
Why Companies
Build With WizeBix
01
AI-first from the beginning
AI is in the intake, the modelling and the build — not a feature added in the final sprint.
02
Prototype before committing serious budget
You approve a working product direction, not a document describing one.
03
AI-assisted engineering with human ownership
Agents do the volume. Senior engineers sign off on everything that reaches production.
04
Built for scale, not demos
The prototype proves the idea. The architecture behind it is built to keep running.
05
Business outcomes over technology theatre
Hours removed, revenue recovered, conversion moved. Those are the numbers we report.
09Results
Outcomes, Not Screenshots.
Three engagements, three numbers the client's finance team could verify. That is the standard we hold our work to.
01 · E-Commerce
34% more repeat purchases.
£180K recovered revenue in six months.
- Problem
- Thousands of customers purchased once and disappeared.
- Solution
- AI customer intelligence with automated re-engagement across the dormant base.
34%
Increase in repeat purchase rate
£180K
Recovered revenue
3.1×
Customer lifetime value
02 · Professional Services
41% higher proposal-to-client conversion.
Leads answered in under 30 minutes.
- Problem
- Qualified enquiries went cold while proposals sat in a queue.
- Solution
- AI lead qualification, instant response and assisted proposal generation.
41%
Proposal-to-client conversion
<30 min
Lead response time
24/7
Qualification coverage
03 · Logistics
3,200 hours eliminated annually.
28% lower operational overhead.
- Problem
- Operational reporting and coordination were assembled by hand every week.
- Solution
- Automated data pipelines, exception handling and generated operational reporting.
3,200
Hours eliminated annually
28%
Lower operational overhead
99.2%
Reporting accuracy
10Industries
Same Model. Different Bottleneck.
Select a sector to see the problem we usually find, the system we build and the outcome it produces.
Problem
Administrative work and missed appointments consume clinical time.
AI solution
Automated scheduling, reminders and document handling, with human review on anything clinical.
Outcome
Fewer no-shows and hours returned to patient-facing work.
11Start Here
Have a Problem Worth Automating?
Tell us what is slowing your business down. A workflow, a product idea, a manual process, an AI opportunity or a technical problem.
No specification required · No obligation · Prototype-first
12FAQ
Questions Worth Asking.
If yours is not here, ask it on the call. We would rather answer it before you commit than after.
What does WizeBix build?
AI systems, software products and business automation. That covers AI agents, generative and voice AI, document processing, web and mobile applications, SaaS products, internal platforms, workflow automation and data pipelines.
How does the 100-minute prototype work?
We start from a conversation rather than a specification. AI structures that conversation into requirements and a product blueprint, and we assemble a working prototype — real screens and a core workflow — within 100 minutes of the first call. It is a rapid prototype or MVP demonstration, not a production release; production engineering continues through the rest of ADLC.
Does WizeBix only build AI products?
No. We build conventional web, mobile and SaaS products too. The difference is that AI is used throughout how we build them, whether or not the finished product contains AI features.
Can WizeBix integrate with our existing software?
Yes. Most of our work connects to systems that already exist — CRMs, ERPs, databases, internal tools and third-party APIs. Integration points are identified during Model, before anything is built.
Is the product scalable?
Systems are architected for growth in users, data, traffic, integrations and AI workloads. We deliberately avoid prototype code reaching production unchanged: a validated direction is re-engineered on an architecture built to last.
How does WizeBix use AI during development?
AI assists with requirement analysis, code and UI generation, testing, documentation, data processing, research and repetitive engineering tasks. It compresses the volume work so engineers spend their time on design and judgement.
Does a human engineer review AI-generated work?
Always. Nothing reaches production without engineering review. Architecture, security, technical trade-offs, quality gates and releases are owned by senior engineers, not by an autonomous agent.
How secure is the solution?
Security is designed in: authentication, authorization, secrets management, secure APIs, least-privilege access, logging and monitoring. Specific compliance requirements are scoped per project — we agree what applies to your context rather than claiming blanket certification.
Who owns the software and intellectual property?
Ownership is agreed in writing before engagement, and our standard position is that you own the software and IP we deliver for you. Third-party services and open-source components keep their own licences, which we document.
What happens after the prototype?
We validate it — usability, feasibility, architecture, security, edge cases and business logic. If the direction holds, we move into Build and Scale. If it does not, you have learned that in hours instead of months.
- Problem
- Conversation
- AI
- Prototype
- Validation
- Engineering
- Scale
Stop Waiting to Build.
Start Showing.
Bring the idea, the workflow or the problem. We'll turn it into a clear product direction and show you what's possible.